Michelle Miao
Data Engineer at
 Credit Sesame
Role
Data Engineer
Industry
Banking
Information Technology
SKILLs
API Endpoints
Churn Modeling
Cloud Computing (AWS, Azure, GCP)
Customer Segmentation
Data Ingestion (Pub/Sub, Kafka, Kinesis)
Data Lake (Hadoop, Hive)
Data Pipelines and Workflow Automation (Aireflow or SBT)
Data Structure and Algorithms
Database and Data Warehouse
Deep Learning (CV, NLP)
Distributed Frameworks (Mapreduce, Spark)
Docker
ETL/ELT Concepts
Forecasting
Machine Learning (MLOps)
Power BI
Python
SQL
Streaming Data Processing
Tableau
Web Applications: Python Stack (Django, Flask)
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Bio

Michelle Miao has 2-year industry experience working at AI-driven and fintech startup. Her current role is a data engineer at Credit Sesame, a Silicon Valley fintech company that empowers customers with their financial wellness. Her key experiences in the field include assisting the ops team of the data and automation processes, collaborating with the data scientists with their data needs by setting up data extraction pipeline, building ETL pipelines and deploying models using various big data tools. She is a quicker learner and a good collaborator in her work. She’s also a good listener and a warmhearted mentor. She has helped more than 5 students to successfully launch a job in the data roles last year. She’s more than happy to guide any upcoming passionate data job seekers!

Services
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Resume Building

Recommend bullets based on role and industry for 4 blocks (summary + skills + projects + experience)

Portfolio Building

A collection of 3-6 projects, each has 5 blocks (overview + objective + KPIs + data model + dashboard)

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Get referred directly to hiring managers and compete with 3 candidates instead of 300

Interview Scripting

Predict the right questions and design the conversation with compelling stories

Interview Practicing

Get used to the pressure through intensive mock interviews, provide actionable feedback, help mentees reach peak performance

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